Triple
T33041871
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Worboys-style road signs |
E845487
|
entity |
| Predicate | giveWaySignShape |
P137300
|
FINISHED |
| Object | inverted red-bordered triangle |
—
|
LITERAL FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: inverted red-bordered triangle | Statement: [Worboys-style road signs, giveWaySignShape, inverted red-bordered triangle]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: giveWaySignShape Context triple: [Worboys-style road signs, giveWaySignShape, inverted red-bordered triangle]
-
A.
hasRoadSignShape
chosen
Indicates that one entity possesses or exhibits the geometric shape characteristic of a particular road sign.
-
B.
roadSignStyle
Indicates the stylistic or design convention used for a particular road sign in a given context.
-
C.
iconShape
Indicates the geometric form or outline that an icon visually takes.
-
D.
badgeShape
Indicates the geometric form or outline that a badge takes.
-
E.
shapeType
Indicates the specific geometric form or category that characterizes an entity’s shape.
- F. None of above.
Provenance (3 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69f34951348c8190b56746b0a7018182 |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69f6d6a6b04c8190bee4cf9c00665ef7 |
completed | May 3, 2026, 5:01 a.m. |
| PD | Predicate disambiguation | batch_69f6d27120988190aacec621cf2bf0e8 |
completed | May 3, 2026, 4:43 a.m. |
Created at: May 1, 2026, 1:24 a.m.